Data engineering
API ingestion, scraping, validation, deduplication and schema design in PostgreSQL.
Open to Data Analyst, Data Engineer & ML roles
I build the pipelines
that turn raw data into decisions.
I'm a data analyst and data engineer who likes the unglamorous part: getting messy, multi-source data into a shape people can trust.
I build pipelines that pull from APIs and the web, handle retries, schema drift, gaps and duplicates, and land clean tables in PostgreSQL. On top of that I build Power BI and Tableau dashboards, and forecasting and classification models when the question needs one.
Alongside my BCA at Lovely Professional University, I'm co-inventor on three Indian patent applications and published a paper in IJNRD.
API ingestion, scraping, validation, deduplication and schema design in PostgreSQL.
Power BI data models with DAX, Tableau views and Excel packs people actually open.
Forecasting, classification and clustering, benchmarked honestly against baselines.
Next.js and React Native front ends so the data reaches the people who use it.
Lovely Professional University, Phagwara
Foundations in programming, statistics and databases.
Coursera
Joins, aggregations and window functions became daily tools.
OilSense
Four public APIs merged into one validated dataset, a nine-page dashboard and a forecasting model.
LPU, with the university IP cell
Invention disclosures, prior-art review and specifications for three Indian patent applications.
Coursera · plus NPTEL and Udemy
Statistics, regression and the full analytics workflow.
Impact Factor 8.76
An empirical study of the TruePass campus safety system.
Building an Indian patent database & filing-trends dashboard
Data Analyst, Data Engineer or ML. On-site, hybrid or remote in India.
App No. 202511104180
App No. 202511052262
App No. 202611071811
Vol. 11, Issue 4 · Apr 2026 · Impact Factor 8.76 · IJNRD2604711